Observations and modelling of algal growth on a snowpack in north-western Greenland

• Published in: The Cryosphere
• Main Authors: Onuma, Yukihiko, Takeuchi, Nozomu, Tanaka, Sota, Nagatsuka, Naoko, Niwano, Masashi, Aoki, Teruo
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2018
• Subjects: article; Verlagsveröffentlichung; Greenland; Qaanaaq; glacier; The Cryosphere
• Online Access: https://doi.org/10.5194/tc-12-2147-2018; https://noa.gwlb.de/receive/cop_mods_00005433; https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00005390/tc-12-2147-2018.pdf; https://tc.copernicus.org/articles/12/2147/2018/tc-12-2147-2018.pdf

Snow algal bloom is a common phenomenon on melting snowpacks in polar and alpine regions and can substantially increase snow melt rates due to the effect of albedo reduction on the snow surface. In order to reproduce algal growth on the snow surface using a numerical model, temporal changes in snow algal abundance were investigated on the Qaanaaq Glacier in north-western Greenland from June to August 2014. Snow algae first appeared at the study sites in late June, which was approximately 94 h after air temperatures exceeded the melting point. Algal abundance increased exponentially after this appearance, but the increasing rate became slow after late July, and finally reached 3.5 × 107 cells m−2 in early August. We applied a logistic model to the algal growth curve and found that the algae could be reproduced with an initial cell concentration of 6.9 × 102 cells m−2, a growth rate of 0.42 d−1, and a carrying capacity of 3.5 × 107 cells m−2 on this glacier. This model has the potential to simulate algal blooms from meteorological data sets and to evaluate their impact on the melting of seasonal snowpacks and glaciers.